Detecting Cyber Attacks on SCADA and Other Critical Infrastructures

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Nowadays, critical infrastructure plays a fundamental role in our modern society. Telecommunication and transportation services, water and electricity supply, and banking and financial services are examples of such infrastructures. They expose society to security threats. To safeguard against these threats, providers of critical infrastructure services also need to maintain the security objectives of their interdependent data networks. As an important part of the electric power system critical infrastructure, Supervisory Control and Data Acquisition (SCADA) systems require protection from a variety of threats, and their network infrastructures are potentially vulnerable to cyber attacks because security has not been part of their design. The diversity and lack of interoperability in the communication protocols also create obstacles for anyone attempting to establish secure communication. In order to improve the security of SCADA systems, anomaly detection can be used to identify corrupted values caused by malicious attacks and injection faults. The aim of this chapter is to present an alternative technique for implementing anomaly detection to monitor electric power electric systems. The problem is addressed here by the use of rough set theory.